Core Responsibilities

Design, develop, and deploy computer vision models for tasks such as object detection, segmentation, tracking, classification, and image/video analysis
Own the full ML pipeline: data collection and labeling strategy, model training, evaluation, and production deployment
Optimize models for performance, latency, and efficiency on target hardware (cloud, edge, or embedded devices)
Collaborate with cross-functional teams to translate business requirements into technical solutions
Build and maintain robust data pipelines and MLOps infrastructure for training and inference
Debug and improve model performance through rigorous experimentation and error analysis

Role-Specific Knowledge

5+ years of hands-on experience building and deploying computer vision systems in production
Robust proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or similar)
Solid understanding of core CV techniques: CNNs, object detection (YOLO, Faster R-CNN, etc.), segmentation, image processing fundamentals
Experience with model optimization and deployment (ONNX,



TensorRT, quantization, edge deployment, or cloud inference services)
Familiarity with MLOps tools and practices (experiment tracking, CI/CD for ML, model versioning)
Strong software engineering fundamentals - clean code, version control, testing
Excellent problem-solving skills and ability to work independently in a fast-paced environment

Preferred Qualifications

Must have experience in any one of the domains and deployment areas mentioned below.
Domain experience: Robotics, Healthcare, autonomous vehicles, retail/Manufacturing automation.
Deployment experience: Edge devices (NVIDIA Jetson), Cloud Platforms (AWS, GCP, Azure), or hybrid edge cloud setups.
Background in generative vision models (diffusion models, GANs) or vision-language models
Publications or contributions to open-source CV/ML projects
Experience with real-time video processing systems
Familiarity with cloud platforms (AWS, GC

📌 Computer Vision Engineer (Coimbatore)
🏢 Stepping EDGE
📍 Coimbatore